Zero Touch Provisioning for Cluster Configuration
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Solution Overview
Problem
Manual configuration of large-scale computing clusters in data centers is impractical, time-consuming, error-prone, and impossible in real-time due to the dynamic nature and large number of computing resources, making it difficult to achieve efficient network performance and scalability.
Innovation Solution
Implementing a zero touch provisioning module within each computing resource that automatically configures and re-configures the cluster by using instance identifiers and cluster configuration information, reducing the need for manual intervention and enabling dynamic scaling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual configuration is used for cluster setup, then configuration accuracy can be ensured, but the process becomes time-consuming and impractical for large-scale clusters
Solution Approach 1:
The patent applies preliminary action by pre-defining cluster configuration templates and parameters before actual cluster deployment. The system prepares configuration data structures, instance identifier formats, and provisioning rules in advance, allowing automated zero-touch provisioning to execute quickly without manual intervention during the actual cluster setup process.
Solution Approach 2:
The patent implements self-service through automated configuration systems that provision cluster resources without human intervention. The zero-touch provisioning mechanism automatically generates instance identifiers, configures computing resources, and establishes cluster topology using pre-defined templates, enabling the system to configure itself rather than requiring manual operator input.
2Ease of operation
If manual configuration is performed for each computing resource, then configuration details can be controlled, but the complexity of managing large numbers of resources increases significantly
Solution Approach 1:
The patent applies segmentation by dividing the cluster configuration process into distinct modular components: instance identifier generation, resource provisioning, network configuration, and topology management. Each computing resource is configured as an independent unit with standardized identifier formats, allowing systematic management of large numbers of resources through structured, segmented operations rather than monolithic manual configuration.
Solution Approach 2:
The patent implements universality through standardized configuration templates and universal instance identifier formats that can be applied across diverse computing resources. The zero-touch provisioning system uses universal provisioning rules that work consistently across different resource types, reducing management complexity by treating various resources through a unified configuration framework rather than requiring separate manual procedures for each resource type.
3Manufacturing precision
If manual configuration updates are performed for dynamic scaling, then configuration accuracy can be maintained, but real-time scalability becomes impossible to achieve
Solution Approach 1:
The patent applies dynamics by implementing configuration systems that automatically adapt to real-time changes in cluster topology. The zero-touch provisioning mechanism continuously monitors resource additions and removals, dynamically generating and updating instance identifiers and configuration parameters without manual intervention, enabling the system to maintain configuration accuracy while achieving real-time scalability through automated adaptive reconfiguration.
Solution Approach 2:
The patent implements feedback through automated monitoring and detection mechanisms that track cluster configuration state and resource changes. The system receives feedback about added or removed computing resources, automatically processes this information through provisioning rules, and updates configurations accordingly, ensuring configuration accuracy is maintained during dynamic scaling operations without requiring manual verification or intervention.
Data Source
AI summary
A device can receive information associated with an application identifier of an application that is to be implemented by a cluster. The device can provide information associated with an instance identifier of the device. The device can receive information associated with a first set of instance identifiers associated with the first set of devices. The device can configure, using the information associated with the first set of instance identifiers, the device to implement the application as part of the cluster. The device can receive information associated with a second set of instance identifiers associated with a second set of devices of the cluster. The device can compare the information associated with the first set of instance identifiers and the information associated with the second set of instance identifiers. The device can selectively configure the device to implement the application as part of the cluster based on the comparison.